Update app.py

app.py

@@ -39,12 +39,17 @@ for idx, sitemap_url in enumerate(sitemap_urls):
             # Word frequency for single words, excluding common words
             word_freq = word_frequency(slugs_filtered, phrase_len=1)
             st.subheader(f"Most-frequently used words in article titles for {sitemap_url} (excluding common words)")
-            st.dataframe(word_freq.head(10))
+            st.dataframe(word_freq.head(100))
 
             # Word frequency for two-word phrases, excluding common words
             word_freq_phrases = word_frequency(slugs_filtered, phrase_len=2)
             st.subheader(f"Most-frequently used two-word phrases in article titles for {sitemap_url} (excluding common words)")
-            st.dataframe(word_freq_phrases.head(10))
+            st.dataframe(word_freq_phrases.head(100))
+
+            # Word frequency for three-word phrases, excluding common words
+            word_freq_trigrams = word_frequency(slugs_filtered, phrase_len=3)
+            st.subheader(f"Most-frequently used three-word phrases in article titles for {sitemap_url} (excluding common words)")
+            st.dataframe(word_freq_trigrams.head(100))
 
             # Plotting trends
             for trend_name, resample_rule, ylabel in [("Yearly", "A", "Count"), ("Monthly", "M", "Count"), ("Weekly", "W", "Count")]: